Cloud Digital Leader Why Cloud Technology Can Transform Business Practice Question
An organization wants to use machine learning to analyze customer feedback but has no ML expertise. They need a service that can train custom models with minimal coding. Which Google Cloud service should they use?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
AutoML Natural Language
AutoML Natural Language allows users to train custom NLP models with a simple interface, requiring no ML expertise.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Cloud Vision API
Why it's wrong here
Cloud Vision API is built for image comprehension rather than textual analysis; it provides features like optical character recognition (OCR), object detection, and safe-search labeling on images. It does not accept customer text inputs for sentiment or classification and cannot produce a custom model trained on business-specific language, so it is not suited to analyzing textual customer feedback.
- ✗
Vertex AI
Why it's wrong here
Vertex AI is a comprehensive ML platform that encompasses many tools and services, including custom training and AutoML, and requires the user to construct pipelines, endpoints, and experiment tracking. For a team wanting to simply train a text classification model without heavy ML operations, AutoML Natural Language is the direct, lower-effort path, so Vertex AI as a whole is not the most precise answer.
- ✗
Cloud Natural Language API
Why it's wrong here
Cloud Natural Language API offers a pre-trained model that readily extracts sentiment, entities, and syntax from text, but it cannot be fine-tuned or re-trained on an organization's own labeled data. If the customers' language or domain is specific, its generic predictions will not match the accuracy of a custom model, and there is no way to adapt its underlying weights.
- ✓
AutoML Natural Language
Why this is correct
AutoML Natural Language is the intended Google Cloud service for training a custom text classification or entity-extraction model through a graphical, low-code workflow. It accepts labeled customer comments and builds a model using transfer learning, allowing the organization to incorporate domain-specific vocabulary and idiomatic expressions without writing code. This directly addresses the need to analyze customer text with a tailored model, making it the correct choice.
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Cloud Digital Transformation
Key term
Google Cloud
Google Cloud is a suite of cloud computing services offered by Google that provides infrastructure, platform, and software solutions over the internet.
Key term
NLP
NLP (Natural Language Processing) is a branch of artificial intelligence that enables computers to understand, interpret, and generate human language in a way that is meaningful and useful.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This GCDL practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the GCDL exam.